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Record W2074093882 · doi:10.1177/0308275x14557094

Lost and/or left behind in a Malagasy outpost of the ‘underworld of gemstones’

2015· article· en· W2074093882 on OpenAlexaff
Andrew Walsh

Bibliographic record

VenueCritique of Anthropology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsWestern University
Fundersnot available
KeywordsCompromiseContext (archaeology)Articulation (sociology)SociologyValue (mathematics)SocialityFace (sociological concept)Gender studiesLawPolitical sciencePoliticsHistorySocial science

Abstract

fetched live from OpenAlex

In the once booming, but now slumping, northern Malagasy sapphire mining town of Ambondromifehy, people make do in the face of uncertainty. As a place of internal migrants organized around the mining and trade of a commodity destined for complex and fickle foreign markets, this town features a wide range of distinctive arrangements and compromises. Of special concern here are the arrangements through which people strive to live responsibly – in accordance with traditional Malagasy norms of sociality – while still managing to make a living through work that can lead them astray. I argue that such distinctive arrangements owe a great deal to the particular articulations of place and mobility one finds problematized in a context like this one. The first articulation is well encapsulated in the experience of what Malagasy people term being very or “lost”, a condition of mobile people who either don’t know or have no hope of returning to the places from which they have come. The second articulation is apparent in the experience of being tavela or “left behind”, the condition of people who find themselves staying put while the things, people and possibilities they value flow away from them. For the many people in Ambondromifehy who are managing either or both of these conditions and the circumstances that come with them, idealized systems of social and moral exchange – systems of responsibility – are inevitably forums for compromise.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.352
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2015
Admission routes1
Has abstractyes

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